Efficient, gigapixel-scale, aberration-free whole slide scanner using angular ptychographic imaging with closed-form solution
Whole slide imaging provides a wide field-of-view (FOV) across cross-sections of biopsy or surgery samples, significantly facilitating pathological analysis and clinical diagnosis. Such high-quality images that enable detailed visualization of cellular and tissue structures are essential for effective patient care and treatment planning. To obtain such high-quality images for pathology applications, there is a need for scanners with high spatial bandwidth products, free from aberrations, and without the requirement for z-scanning. Here we report a whole slide imaging system based on angular ptychographic imaging with a closed-form solution (WSI-APIC), which offers efficient, tens-of-gigapixels, large-FOV, aberration-free imaging. WSI-APIC utilizes oblique incoherent illumination for initial high-level segmentation, thereby bypassing unnecessary scanning of the background regions and enhancing image acquisition efficiency. A GPU-accelerated APIC algorithm analytically reconstructs phase images with effective digital aberration corrections and improved optical resolutions. Moreover, an auto-stitching technique based on scale-invariant feature transform ensures the seamless concatenation of whole slide phase images. In our experiment, WSI-APIC achieved an optical resolution of 772 nm using a 10×/0.25 NA objective lens and captures 80-gigapixel aberration-free phase images for a standard 76.2 mm × 25.4 mm microscopic slide.
Authors
- Ruizhi Cao (ORCID: https://orcid.org/0000-0003-3385-446X)
- Haowen Zhou (ORCID: https://orcid.org/0000-0003-0955-4010)
- Siyu Lin (ORCID: https://orcid.org/0009-0004-4985-7475)
- Changhuei Yang
- Shi Zhao (ORCID: https://orcid.org/0009-0008-4885-0473)
Institutions
- California Institute of Technology (US)
Publication Details
- Journal
- Biomedical Optics Express
- Published
- 2024-08-29
- DOI
- https://doi.org/10.1364/boe.538148
- Citations
- 8
- Primary Topic
- Advanced X-ray Imaging Techniques
- Type
- article
- Field-Weighted Citation Impact
- 4.86
Funders
- California Institute of Technology